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The Scientific World Journal
Volume 2015, Article ID 303505, 12 pages
http://dx.doi.org/10.1155/2015/303505
Research Article

An Efficient Framework for Large Scale Multimedia Content Distribution in P2P Network: I2NC

Department of Information Technology, PSNA CET, Tamilnadu 624 622, India

Received 11 May 2015; Revised 11 August 2015; Accepted 12 August 2015

Academic Editor: Vincenzo Eramo

Copyright © 2015 M. Anandaraj et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Network coding (NC) makes content distribution more effective and easier in P2P content distribution network and reduces the burden of the original seeder. It generalizes traditional network routing by allowing the intermediate nodes to generate new coded packet by combining the received packets. The randomization introduced by network coding makes all packets equally important and resolves the problem of locating the rarest block. Further, it reduces traffic in the network. In this paper, we analyze the performance of traditional network coding in P2P content distribution network by using a mathematical model and it is proved that traffic reduction has not been fully achieved in P2P network using traditional network coding. It happens due to the redundant transmission of noninnovative information block among the peers in the network. Hence, we propose a new framework, called I2NC (intelligent-peer selection and incremental-network coding), to eliminate the unnecessary flooding of noninnovative coded packets and thereby to improve the performance of network coding in P2P content distribution further. A comparative study and analysis of the proposed system is made through various related implementations and the results show that 10–15% of traffic reduced and improved the average and maximum download time by reducing original seeder’s workload.